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Data Science turing

LLM Go Developer

Turing Remote, Canada, France, Germany, Bangladesh, Brazil, Egypt, India, Kenya, Mexico, Nigeria, Pakistan, Turkey, Ghana

Education

Any

Type

hourly

Pay Rate (by country)

$12–$30/hr

Listed

122d ago

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Turing: our referral track record

We've referred 677 candidates to Turing roles. 2% (15) were placed.

Turing: typical time to hire

Based on 15 tracked placements across all Turing roles on our site.

32 days 59 days (median) 85 days
Within 2 weeks
13%
Within 6 weeks
40%
Within 13 weeks
80%

What We Know About This Role

Interview
Required i As stated in the listing: “Duration of contract : 2-4 weeks; [expected start date is next week]”
Weekly hours
20–40 hrs/week
Timezone overlap
Partial overlap with US Pacific time required
Contract length
4 weeks

About this Role

From the Turing listing

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

About the Role: We are seeking an engineer responsible for designing, implementing, and maintaining data-validation workflows inside Docker-based build pipelines. This role involves creating and managing Dockerfile labels, metadata standards, and validation scripts that ensure datasets, schemas, and model artifacts meet quality and compliance requirements before deployment.

You will work closely with data engineering, machine learning, and DevOps teams to build reliable, reproducible, and fully validated containerized data pipelines.

What does day-to-day look like:

Develop and optimize Dockerfiles with built-in data-validation steps. Implement LABEL metadata for dataset versions, schemas, and lineage. Create validation scripts (Python/Bash) for schema checks, data integrity, and quality control. Integrate validation steps into CI/CD pipelines and enforce fail-on-bad-data checks. Document standards for Dockerfile labeling, validation logic, and data governance.

Required Skills

Experienced DevOps engineers with 4+ years of experience Strong experience with Docker & Dockerfiles. Proficiency in Python or Bash for validation scripting. Knowledge of data formats, schemas, and validation tools. Familiarity with CI/CD systems and container registries.

Nice to Have:

Previous participation in LLM research or evaluation projects. Experience building or testing developer tools or automation agents. Experience with MLOps workflows, data versioning, or Great Expectations. Knowledge of Kubernetes or container security tools.

Perks of Freelancing With Turing:

Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type  : Contractor assignment (no medical/paid leave) Duration of contract : 2-4 weeks; [expected start date is next week] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, Brazil

Evaluation Process (approximately 75 mins) :

Interviews (30-60 min technical discussion in QODE)

Requirements

  • Python
  • Bash
  • Docker
  • CI/CD
  • Must be eligible to work in one of: Remote, Canada

Why This Role

No office, no fixed hours, no relocation. This LLM Go Developer role pays $21/hr fully remote, giving you access to Data Science work that would otherwise be limited to a handful of major cities.

Skills & Categories

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Frequently Asked Questions

Do I need to be a software engineer to work for Turing?

No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.

How does Turing's talent matching work?

Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.

How and when does Turing pay contractors?

Monthly, in USD, via Deel, Payoneer, or direct bank transfer. You're engaged as an independent contractor responsible for your own local taxes. Plan your cash flow around a monthly cycle if you're used to weekly payouts elsewhere.

What does task-based AI training work actually look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does asynchronous AI training work mean in practice?

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

What does Data Science work look like for a LLM Go Developer?

Tasks here are scoped to Data Science, not generic labeling. As a LLM Go Developer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Data Science) rather than following a one-size-fits-all rubric. If you don't have hands-on Data Science background, this is likely not the right listing to start with.

How many hours per week does this role require?

Based on the listing, this role is scoped at 20–40 hours per week, over roughly a 4-week contract. Treat this as a real commitment expectation, not a loose estimate.

What happens when I click Apply on this listing?

You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Can I apply from outside Canada, France, Germany and 10 other countries?

This specific role is open only to people based in Canada, France, Germany, Bangladesh, Brazil, Egypt, India, Kenya, Mexico, Nigeria, Pakistan, Turkey, and Ghana. If you are somewhere else, applying is unlikely to lead to an offer even if you pass the assessment, because the restriction is usually about where the work can legally be contracted rather than your skills. Read the full description for any tax-residency or right-to-work caveats before you apply, since they can differ by country.

Is there an interview?

Yes. Interviews (30-60 min technical discussion in QODE)